Background And Aims: Ulcerative colitis (UC) can be treated with infliximab (IFX). Therapeutic drug monitoring (TDM) can yield superior outcomes, but its cost-effectiveness is unknown.
Methods: We used a decision analytic Markov model to conduct a cost-effectiveness analysis comparing proactive TDM, reactive TDM, no TDM, and combinations of proactive and reactive TDM in 25-year-old patients with UC started on IFX.
Introduction: Algorithm-enabled remote patient monitoring (RPM) programs pose novel operational challenges. For clinics developing and deploying such programs, no standardized model is available to ensure capacity sufficient for timely access to care. We developed a flexible model and interactive dashboard of capacity planning for whole-population RPM-based care for T1D.
View Article and Find Full Text PDFIntroduction: Population-level algorithm-enabled remote patient monitoring (RPM) based on continuous glucose monitor (CGM) data review has been shown to improve clinical outcomes in diabetes patients, especially children. However, existing reimbursement models are geared towards the direct provision of clinic care, not population health management. We developed a financial model to assist pediatric type 1 diabetes (T1D) clinics design financially sustainable RPM programs based on algorithm-enabled review of CGM data.
View Article and Find Full Text PDFCell rigidity sensing-a basic cellular process allowing cells to adapt to mechanical cues-involves cell capabilities exerting force on the extracellular environment. In vivo, cells are exposed to multi-scaled heterogeneities in the mechanical properties of the surroundings. Here, we investigate whether cells are able to sense micron-scaled stiffness textures by measuring the forces they transmit to the extracellular matrix.
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